What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Statistics
- Internal medicine
His scientific interests lie mostly in Neuroscience, Functional magnetic resonance imaging, Grey matter, Audiology and Magnetic resonance imaging.
John Suckling combines subjects such as Psychosis, Schizophrenia and Autism with his study of Neuroscience.
His Functional magnetic resonance imaging research is multidisciplinary, incorporating perspectives in Developmental psychology, Resting state fMRI, Functional imaging, Human brain and Parahippocampal gyrus.
Grey matter is a subfield of White matter that he investigates.
The various areas that John Suckling examines in his Audiology study include Psychiatry, Facial expression, Cingulate cortex and Affect.
His studies deal with areas such as Nonparametric statistics, Radiation treatment planning, Nuclear medicine and Artificial intelligence as well as Magnetic resonance imaging.
His most cited work include:
- A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs (1920 citations)
- Neuroanatomical abnormalities before and after onset of psychosis: a cross-sectional and longitudinal MRI comparison. (1104 citations)
- Neurophysiological Architecture of Functional Magnetic Resonance Images of Human Brain (1069 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Neuroscience, Functional magnetic resonance imaging, Audiology, Grey matter and White matter.
His Neuroscience study combines topics in areas such as Magnetic resonance imaging, Schizophrenia and Autism.
His Functional magnetic resonance imaging research is multidisciplinary, relying on both Working memory, Resting state fMRI, Functional imaging, Prefrontal cortex and Facial expression.
His work on Cognition expands to the thematically related Audiology.
His Grey matter study combines topics from a wide range of disciplines, such as Psychosis, Temporal lobe, Voxel-based morphometry and Brain size.
His research integrates issues of First episode and Internal medicine in his study of Psychosis.
He most often published in these fields:
- Neuroscience (39.43%)
- Functional magnetic resonance imaging (20.10%)
- Audiology (15.40%)
What were the highlights of his more recent work (between 2017-2021)?
- Neuroscience (39.43%)
- Neuroimaging (10.97%)
- Internal medicine (11.49%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Neuroscience, Neuroimaging, Internal medicine, Audiology and Cognition.
His Neuroscience study frequently draws connections to other fields, such as Glioma.
His study in Neuroimaging is interdisciplinary in nature, drawing from both Neurosurgery and Neuropsychology.
His research in Internal medicine intersects with topics in Cross-sectional study, Endocrinology and Oncology.
His Audiology research is multidisciplinary, incorporating elements of Functional networks, Electrocorticography, Magnetic resonance imaging, Functional magnetic resonance imaging and Autism spectrum disorder.
His research investigates the connection with Functional magnetic resonance imaging and areas like Resting state fMRI which intersect with concerns in Connectome.
Between 2017 and 2021, his most popular works were:
- The benefit of minocycline on negative symptoms of schizophrenia in patients with recent-onset psychosis (BeneMin): a randomised, double-blind, placebo-controlled trial (59 citations)
- The benefit of minocycline on negative symptoms of schizophrenia in patients with recent-onset psychosis (BeneMin): a randomised, double-blind, placebo-controlled trial (59 citations)
- Large-scale analyses of the relationship between sex, age and intelligence quotient heterogeneity and cortical morphometry in autism spectrum disorder. (48 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Internal medicine
- Neuroscience
The scientist’s investigation covers issues in Neuroscience, Functional magnetic resonance imaging, Autism, Functional connectivity and Internal medicine.
His study involves Default mode network, Brain mapping, Neuropsychology, Connectome and Neuroimaging, a branch of Neuroscience.
In his research, Insula is intimately related to Grey matter, which falls under the overarching field of Brain mapping.
His work on Dynamic functional connectivity as part of general Functional magnetic resonance imaging study is frequently linked to Self representation, bridging the gap between disciplines.
His biological study spans a wide range of topics, including Ventromedial prefrontal cortex, Support vector machine, Multiclass classification and Sexual dimorphism.
When carried out as part of a general Internal medicine research project, his work on Clinical trial and Serotonin transporter is frequently linked to work in Placebo and 5-HT2A receptor, therefore connecting diverse disciplines of study.
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